EP-4740202-A1 - SYSTEMS AND METHODS FOR ADJUSTING DISPLAY DEVICES

Abstract

Methods and systems for adjusting display devices are provided. The methods may include: obtaining image data collected by an image acquisition device disposed on the display device (302); determining, based on the image data, an environment type of an environment where the display device is located (304); in response to determining that the environment type is a target environment type, determining, based on the image data, an eye protection level of the display device (306); determining, based on the eye protection level, one or more display parameters of the display device (308).

Inventors

• WANG, Jianmiao
• ZHU, Feiyue
• ZHAO, Yongyong
• QIAN, Xuze
• TANG, XUEMIN

Assignees

• Zhejiang Dahua Technology Co., Ltd

Dates

Publication Date

20260513

Application Date

20250106

Claims (20)

1. A method for adjusting a display device, implemented on a computing device having at least one processor and at least one storage device, the method comprising: obtaining image data collected by an image acquisition device disposed on the display device; determining, based on the image data, an environment type of an environment where the display device is located; in response to determining that the environment type is a target environment type, determining, based on the image data, an eye protection level of the display device; and determining, based on the eye protection level, one or more display parameters of the display device.
2. The method of claim 1, wherein the image data includes image data subsets collected by multiple types of optical filters.
3. The method of claim 2, wherein an image data subset is obtained by: obtaining current image data collected by the image acquisition device using the optical filter corresponding to the image data subset; determining, based on the current image data, one or more brightness parameters of the environment; determining whether the one or more brightness parameters satisfy a first preset condition; in response to determining that the one or more brightness parameters satisfy the first preset condition, determining the current image data as the image data subset.
4. The method of claim 2 or claim 3, wherein the image data subsets include a first image data subset including color image data collected using a color optical filter and a second image data subset including black-and-white image data collected using a black-and-white optical filter, the determining, based on the image data, an environment type of an environment where the display device is located includes: determining first features of the color image data and second features of the black-and-white image data; and determining the environment type by inputting the first features and the second features into a first environment classification model, the first environment classification model being a trained machine learning model.
5. The method of claim 2 or claim 3, wherein the image data subsets include a first image data subset including color image data collected using a color optical filter and a second image data subset including black-and-white image data collected using a black-and-white optical filter, the determining, based on the image data, an environment type of an environment where the display device is located includes: determining the environment type by inputting the color image data and the black-and-white image data into a second environment classification model, the second environment classification model being a trained machine learning model.
6. The method of any one of claims 1-5, wherein the target environment type includes at least one of an indoor environment or a night outdoor environment.
7. The method of any one of claims 1-6, wherein the determining, based on the image data, an eye protection level includes: determining target image data from the image data; determining, based on the target image data, a color temperature parameter and a brightness parameter of the environment; and determining, based on the color temperature parameter and the brightness parameter of the environment, the eye protection level.
8. The method of claim 7, wherein the determining, based on the color temperature parameter and the brightness parameter of the environment, the eye protection level comprises: determining, based on the color temperature parameter and the brightness parameter of the environment, an initial eye protection level; determining an adjustment coefficient based on supplementary information relating to the display device; and determining the eye protection level by adjusting the initial eye protection level based on the adjustment coefficient.
9. The method of claim 8, wherein the supplementary information includes information relating to at least one of displaying content of the display device, a user of the display device, or an operation duration of the display device.
10. The method of claim 7, wherein the determining, based on the color temperature parameter and the brightness parameter of the environment, the eye protection level comprises: obtaining supplementary information relating to the display device; determining the eye protection level by inputting the supplementary information, the color temperature parameter, and the brightness parameter into an eye protection level determination model, the eye protection level determination model being a trained machine learning model.
11. The method of claim 1, further comprising: determining whether a second preset condition is satisfied; in response to determining that the second preset condition is satisfied, updating the eye protection level.
12. The method of claim 11, wherein the determining whether a second preset condition is satisfied comprises: determining, based on the image data, a color temperature parameter and a brightness parameter of the environment; obtaining updated image data collected by the image acquisition device after the display device is adjusted according to the one or more display parameters; determining, based on the updated image data, an updated color temperature parameter and an updated brightness parameter of the environment; determining whether the second preset condition is satisfied based on the color temperature parameter, the brightness parameter, the updated color temperature parameter, and the updated brightness parameter.
13. A system for adjusting a display device, comprising: at least one storage device including a set of instructions; and at least one processor in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is directed to perform operations including: obtaining image data collected by an image acquisition device disposed on the display device; determining, based on the image data, an environment type of an environment where the display device is located; in response to determining that the environment type is a target environment type, determining, based on the image data, an eye protection level of the display device; and determining, based on the eye protection level, one or more display parameters of the display device.
14. The system of claim 13, wherein the image data includes image data subsets collected by multiple types of optical filters.
15. The system of claim 14, wherein an image data subset is obtained by: obtaining current image data collected by the image acquisition device using the optical filter corresponding to the image data subset; determining, based on the current image data, one or more brightness parameters of the environment; determining whether the one or more brightness parameters satisfy a first preset condition; in response to determining that the one or more brightness parameters satisfy the first preset condition, determining the current image data as the image data subset.
16. The system of claim 14 or claim 15, wherein the image data subsets include a first image data subset including color image data collected using a color optical filter and a second image data subset including black-and-white image data collected using a black-and-white optical filter, the determining, based on the image data, an environment type of an environment where the display device is located includes: determining first features of the color image data and second features of the black-and-white image data; and determining the environment type by inputting the first features and the second features into a first environment classification model, the first environment classification model being a trained machine learning model.
17. The system of claim 14 or claim 15, wherein the image data subsets include a first image data subset including color image data collected using a color optical filter and a second image data subset including black-and-white image data collected using a black-and-white optical filter, the determining, based on the image data, an environment type of an environment where the display device is located includes: determining the environment type by inputting the color image data and the black-and-white image data into a second environment classification model, the second environment classification model being a trained machine learning model.
18. The system of any one of claims 13-17, wherein the target environment type includes at least one of an indoor environment or a night outdoor environment.
19. The system of any one of claims 13-18, wherein the determining, based on the image data, an eye protection level includes: determining target image data from the image data; determining, based on the target image data, a color temperature parameter and a brightness parameter of the environment; and determining, based on the color temperature parameter and the brightness parameter of the environment, the eye protection level.
20. A non-transitory computer readable medium, comprising executable instructions that, when executed by at least one processor, direct the at least one processor to perform a method for adjusting a display device, the method comprising: obtaining image data collected by an image acquisition device disposed on the display device; determining, based on the image data, an environment type of an environment where the display device is located; in response to determining that the environment type is a target environment type, determining, based on the image data, an eye protection level of the display device; and determining, based on the eye protection level, one or more display parameters of the display device.

Description

SYSTEMS AND METHODS FOR ADJUSTING DISPLAY DEVICES CROSS-REFERENCE TO RELATED APPLICATIONS This application claims priority of Chinese Patent Application No. 202411151760.2 filed on August 21, 2024, the contents of which are hereby incorporated by reference. TECHNICAL FIELD The present disclosure generally relates to the display field, and more particularly, relates to systems and methods for adjusting display devices. BACKGROUND With the development of science and technology, display devices are becoming increasingly prevalent, and their sizes are also growing larger. However, the blue light emitted by the display devices, especially harmful blue light within the waveband range from 415 to 445 nanometers (nm) , poses a significant risk to users’ eye health. Prolonged exposure to harmful blue light can lead to visual fatigue in the macular region of the eyes, causing discomfort and potentially accelerating the progression of myopia. Therefore, it is desirable to provide systems and methods for automatically adjusting display parameters of display devices according to various usage scenarios, which enhance the precision of adaptive adjustments, effectively reduce harmful blue light exposure, and better protect users' eyes while improving their overall experience. SUMMARY An aspect of the present disclosure provides a method for adjusting a display device. The method may be implemented on a computing device having at least one processor and at least one storage device. The method may include obtaining image data collected by an image acquisition device disposed on the display device. The method may include determining, based on the image data, an environment type of an environment where the display device is located. In response to determining that the environment type is a target environment type, the method may include determining, based on the image data, an eye protection level of the display device. The method may further include determining, based on the eye protection level, one or more display parameters of the display device. Another aspect of the present disclosure provides a system for adjusting a display device. The system may include at least one storage device including a set of instructions; and at least one processor configured to communicate with the at least one storage device. When executing the set of instructions, the at least one processor may be configured to direct the system to perform operations. The operations may include obtaining image data collected by an image acquisition device disposed on the display device. The operations may include determining, based on the image data, an environment type of an environment where the display device is located. In response to determining that the environment type is a target environment type, the operations may include determining, based on the image data, an eye protection level of the display device. The operations may further include determining, based on the eye protection level, one or more display parameters of the display device. Still another aspect of the present disclosure provides a non-transitory computer readable medium, comprising executable instructions that, when executed by at least one processor, direct the at least one processor to perform a method for adjusting a display device. The method may include obtaining image data collected by an image acquisition device disposed on the display device. The method may include determining, based on the image data, an environment type of an environment where the display device is located. In response to determining that the environment type is a target environment type, the method may include determining, based on the image data, an eye protection level of the display device. The method may further include determining, based on the eye protection level, one or more display parameters of the display device. Additional features will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and the accompanying drawings or may be learned by production or operation of the examples. The features of the present disclosure may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities, and combinations set forth in the detailed examples discussed below. BRIEF DESCRIPTION OF THE DRAWINGS The present disclosure is further described in terms of exemplary embodiments. These exemplary embodiments are described in detail with reference to the drawings. These embodiments are non-limiting exemplary embodiments, in which like reference numerals represent similar structures throughout the several views of the drawings, and wherein: FIG. 1 is a schematic diagram illustrating an exemplary system for adjusting a display device according to some embodiments of the present disclosure; FIG. 2 is a block diagram illustrating an exemplary processing device according to some em